To follow up on yesterday’s anticipated financial earnings reports from Meta, Microsoft, Alphabet and Amazon, we see that spending as a percentage of revenue was significantly higher than industry averages. For example, Meta’s capex intensity was shown to be 2.4x higher than the software industry average. As mentioned yesterday, the four companies have committed more than $600 billion in spend for data centers, power, chips, and other AI infrastructure. So how did they fare?
Each showed a general trend of beating revenue and profit expectations, but a continued focus on elevated Capex guidance:
- Revenue: $109.9 billion (+22% YoY).
- CapEx: $35.7 billion in Q1.
- Revenue: $56.3 billion (+33% YoY).
- CapEx: $19.84 billion in Q1.
- Revenue: $82.89 billion (+18% YoY).
- CapEx: $34.9 billion in Q1.
- Revenue: $181.5 billion (+17% YoY).
- CapEx: Not fully broken out for Q1, but hinted at very high spending, comparable to Alphabet.

Susana Schwartz
Technology Editor
RCRTech
AI Infrastructure Top Stories
Growing interest in ‘microgrids’: ABB’s Sébastien Surply says “With AI data centers now requiring 100+ MW of continuous power,” Microgrids are being considered as a resilient, low-carbon on-site energy alternatives in data centers.
UK wants skin in the game: Though the U.S. and Taiwan lead, the U.K. government’s new national AI Hardware Plan aims to capture “at least 5%” of what Tech Secretary Liz Kendall estimates will be a $1T semiconductor market by 2030s.
Telcos pursuing AI infra: Like China Mobile and other Chinese telcos, ZTE is expanding into AI infrastructure to bolster relationships and growth with companies like Nvidia, Intel, Alibaba, ByteDance and others, according to Omdia’s Guang Yang.
AI Today: What You Need to Know
Oklahoma data center proposed: City leaders in Broken Arrow have been approached about a predevelopment meeting for a potential data center on the city’s east side. This comes as OK lawmakers consider rising community opposition.
TSMC’s explosive growth: Taiwan Semiconductor Manufacturing Company (TSMC) reported strong Q1 2026 earnings, with 35.1% YoY revenue growth, and a 58% increase in Q1 profit, driven by 3nm and advanced packaging for AI chips.
NVIDIA new models: Nvidia’s newly launched Nemotron 3 Nano Omni Model offers 9x improvement in reasoning for high efficiency and accuracy in agentic workflows, such as computer use, document intelligence and audio-video reasoning.
1-Bit LLM breakthrough: 1-Bit LLMs, pioneered by startups like PrismML’s Bonsai 8B LM, are about 14x smaller than a standard 16-bit model and drastically reduce energy consumption (up to, 100x), enabling high-performance AI on edge devices.
OpenAI-xAI trial continues: Elon Musk will take the stand again today, following yesterday’s heated, multi-hour exchange with OpenAI lawyer William Savitt. Once Musk is done, his attorneys will call Jared Birchall and others to the testify.
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